Innovations in Data Analytics

Selected Papers of ICIDA 2023, Volume 2
2024
ISBN: 978-981-97-4927-0
Verlag: Springer Nature Singapore

Buch, Englisch, Band 1005, 486 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 841 g

Reihe: Lecture Notes in Networks and Systems

This book features research papers presented at the 2nd International Conference on Innovations in Data Analytics (ICIDA 2023), held at Eminent College of Management and Technology (ECMT), West Bengal, India during 29 – 30 November 2023. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry.

Zielgruppe

Research

Autoren/Hrsg.

Bhattacharya, Abhishek

Samanta, Debabrata

Dutta, Soumi

Dutta, Paramartha

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

E-waste Classification using Pre-trained Deep Learning CNN Model.- Explorative Data Analysis on COVID-19 Vaccine Hesitancy in United States.- Stress Detection while doing Exam using EEG with Machine Learning Techniques.- Detection of Fake News using Machine Intelligence for Societal Benefit.- Drug Recommendations using Support Vector Machine.- Fraud Detection on payment using Credit Card, Online Transactions and Banking.- Twitter Sentiment Analysis using Stacking Machine Learning Approach.- Machine learning based Network Intrusion Detection System for IoT Environment.- Periodic Frequent Pattern Mining with Consideration of Periodic Improvements for Business Promotion.- Latent Dirichlet Allocation for Topic Modeling and Intelligent Document Classification.- Artificial Intelligence Based Smart Traffic Control System.- Leveraging Sentiment Analysis of Drugs Review-Based Drugs Recommender System.- An AI-based Integrated Framework for Motion-Activated Facial Recognition.- Rice Leaves Disease Detection Mechanism using VGG16 Deep Learning Architecture.- Advancements in Deep Learning Models for Epileptic Seizure Detection: Algorithms, Applications, and Future Perspectives.- A Comprehensive Study on Reddit Users’ Attitude Towards ChatGPT.- Using OpenCV Space Detection System.- Design and Evaluation of a Customized CNN Architecture for Early Detection of Lung Cancer.- Detecting Common Diseases of Potato Leaf Applying Deep Learning Techniques.- Forecasting Bitcoin Prices using LSTM: A Comparative Evaluation with Future Prediction.- Credit Card fraudulent transaction detection using Machine Learning Techniques.- Revolutionizing Attendance Tracking: A Smart System Utilizing Face Recognition Technology.- Comparative Analysis of Tomato Leaf Diseases in Relation to Soil Nutrition Data.- Deep Learning-Based Smart Surveillance System.- A Guide Tour to Systematic Review and Research perspective on Movie Based Recommendation System.

Über Autor(innen)

Dr. Abhishek Bhattacharya is Associate Professor at Sister Nivedita University, India. He has completed his PhD (CSE) from BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are data mining, cyber security, and mobile computing. He has published 35 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. He has 3 book chapters in Taylor & Francis Group EAI. He is peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, CIIR 2023, ICIDA 2022 and special issues in IJWLTT. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN,  IAENG. He has published 3 patents. 

Dr. Soumi Dutta Dr. Soumi Dutta is Associate Professor at Sister Nivedita University, India. She has completed her PhD (CST), IIEST, Shibpur. She received her B.Tech (IT) and M.Tech (CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis, and Image Processing. She has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. She has 5 Book Chapters in Taylor & Francis Group and IGI Global. She is a peer reviewer and TPC member in different international journals. She was the editor in CIPR 2020, CIPR2019, IEMIS 2020, CIIR 2021, IEMIS 2018 special issues in IJWLTT. She is the member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 3 patents. Dr. Soumi Dutta has delivered 15 Keynote talks in Different International Conferences. She has been awarded with Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, International Teacher Award 2020-21 by the Ministry of MSME, Government of India.

Prof. Paramartha Dutta, I am currently a Professor in the Department of Computer and System Sciences in Visva-Bharati University, Bolpur, Shantiniketan, West Bengal, India since November 2007. I did my Bachelors and Masters in Statistics from Indian Statistical Institute, Kolkata, India in 1988 and 1990, respectively. Subsequently, I did my Master of Technology in Computer Science in 1993 from Indian Statistical Institute, Kolkata, India. I did my PhD (Engineering) in 2005 from Bengal Engineering and Science University, Shibpore, India. I amco-author of eight authored books apart from thirteen edited books and more than two hundred and forty research publications in peer reviewed journals and conference proceedings. In addition, I am co-inventor of seventeen published patents. So far, I had the opportunity to supervise eight PhD scholars who have received their degree, two who have submitted their theses waiting for follow up formalities, apart from six who at present are pursuing their Ph. D work.

Dr. Debabrata Samanta, is presently working as Assistant Professor at RIT Kosovo (A.U.K),Rochester Institute of Technology – RIT Global Campus, Dr. Shpetim Robaj, n.n.  Germia Campus, Prishtina 10000, Kosovo, Europe. He obtained his PhD in Computer Science and Engineering from National Institute of Technology, Durgapur, India, in the areas of SAR Image Processing. He is keenly interested in Interdisciplinary Research & Development and has experience spanning fields of SAR Image Analysis, Video surveillance, Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Network, Natural Language Processing, V2I Communication. He has successfully completed six Consultancy Projects. He has received funding 8,110 USD under Open Access, Publication fund. He has received funding under International Travel Support Scheme in 2019 for attending conference in Thailand. He has received Travel Grant for speaker in Conference, Seminar etc for two years from July 2019. He is the owner of 21 patents (3 Design Indian Patent and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyright.